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Latest IGEM Grant Supports Sensor Adapter

By: Kathleen Tuck   Published 4:11 pm / December 16, 2015

Sin Ming Loo, IGEM project, Photo by Allison CoronaBoise State has been awarded $211,098 from the Idaho Global Entrepreneurial Mission (IGEM) for the research and development of a sensor adapter for the machine-to-machine (M2M) market. The sensor adapter will drastically improve data collection and modification and delivery of remotely sensed global positioning systems (GPS), vehicle diagnostics and other related field data.

IGEM creates partnerships that pair private sector experts with research professionals to bring commercially viable technologies to market. Principal investigator Sin Ming Loo, professor of electrical and computer engineering, is partnering on the project with MarshallGIS, which provides a robust mobile resource management tracking solution called LiGO. Fast and simple to deploy, LiGO provides real time and historic location-based information and metrics to support the management of people and moving assets.

Sin Ming Loo, IGEM project, Photo by Allison Corona Currently, LiGO and similar existing solutions cannot accommodate additional sensors without custom connections and programming. This makes the solutions fragile and expensive and reduces scalability in the marketplace. The development of an M2M sensor adapter will allow LiGO to grow the variety of sensors that can be collected in vehicles, and improve the ability to manage and modify these data as received and utilized in the LiGO Cloud platform.

Boise State has had five IGEM awards to date. Other projects and industry partners are listed below.

  1. Don Warner, Department of Chemistry, Gem Pharmaceuticals — modifying an existing cancer treatment drug
  2. Trevor Lujan / MWI and West Vet — testing hip resurfacing technology for dogs
  3. Owen McDougal / BHS — reformulating waste products to make them more compliant with federal FDA regulations
  4. Tim Andersen/Simplot (Big Data) – growing the Boise State computer science program to meet the needs of Big Data